{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 动量策略： \n",
    "\n",
    "Time Series: 时间序列上强者恒强\n",
    "VS Cross sectional: 行业内部强者恒强\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import tushare as ts\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn')\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['font.family'] = 'serif'\n",
    "\n",
    "import warnings; warnings.simplefilter('ignore')       #忽略警告信息；"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. 数据准备 & 回测准备\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>3535.229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>3564.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>3541.727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>3471.456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>3480.130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               price\n",
       "date                \n",
       "2010-01-04  3535.229\n",
       "2010-01-05  3564.038\n",
       "2010-01-06  3541.727\n",
       "2010-01-07  3471.456\n",
       "2010-01-08  3480.130"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = ts.get_k_data('hs300', start = '2010-01-01', end='2020-08-11')[['date','close']]\n",
    "data.rename(columns={'close': 'price'}, inplace=True)\n",
    "data.set_index('date', inplace = True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. 策略开发思路\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['returns'] = np.log(data['price'] / data['price'].shift(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['position'] = np.sign(data['returns'])     \n",
    "#关键语句,np.sign()很多地方用到；向量化；"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. 计算收益并可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['strategy'] = data['position'].shift(1) * data['returns']  \n",
    "#计算Momentum策略收益；避免未来函数；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x21249db5cc0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[['returns', 'strategy']].cumsum().apply(np.exp).plot(figsize=(10, 6))    \n",
    "#计算出策略的最终的累计收益；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returns     0.280900\n",
       "strategy    0.813836\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['returns','strategy']].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returns     0.027469\n",
       "strategy    0.079614\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['returns','strategy']].mean() * 252  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returns     0.233922\n",
       "strategy    0.233906\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['returns','strategy']].std() * 252 ** 0.5  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. 策略优化思路之参数优化和穷举\n",
    "\n",
    "#针对过多的开仓次数，进行参数优化和穷举"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['position_5'] = np.sign(data['returns'].rolling(5).mean()) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['strategy_5'] = data['position_5'].shift(1) * data['returns']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2124a67ab70>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[['returns', 'strategy_5']].dropna().cumsum().apply(np.exp).plot(figsize=(10, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returns       0.280900\n",
       "strategy_5    0.501918\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['returns','strategy_5']].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returns       0.027469\n",
       "strategy_5    0.049177\n",
       "dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['returns','strategy_5']].mean() * 252  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returns       0.233922\n",
       "strategy_5    0.234028\n",
       "dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['returns','strategy_5']].std() * 252 ** 0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "参数寻优——使用离散Return计算方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['return_dis'] = data['price']/data['price'].shift(1) - 1\n",
    "#data['return_dis'] = data['price'].pct_change()\n",
    "data['return_dis_cum'] = (1+data['return_dis']).cumprod()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>returns</th>\n",
       "      <th>position</th>\n",
       "      <th>strategy</th>\n",
       "      <th>position_5</th>\n",
       "      <th>strategy_5</th>\n",
       "      <th>return_dis</th>\n",
       "      <th>return_dis_cum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-05</th>\n",
       "      <td>4777.11</td>\n",
       "      <td>0.000274</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000274</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000274</td>\n",
       "      <td>0.000274</td>\n",
       "      <td>1.351287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-06</th>\n",
       "      <td>4762.76</td>\n",
       "      <td>-0.003008</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.003008</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.003008</td>\n",
       "      <td>-0.003004</td>\n",
       "      <td>1.347228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-07</th>\n",
       "      <td>4707.93</td>\n",
       "      <td>-0.011579</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.011579</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.011579</td>\n",
       "      <td>-0.011512</td>\n",
       "      <td>1.331719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-10</th>\n",
       "      <td>4724.87</td>\n",
       "      <td>0.003592</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.003592</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.003592</td>\n",
       "      <td>0.003598</td>\n",
       "      <td>1.336510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-11</th>\n",
       "      <td>4681.78</td>\n",
       "      <td>-0.009162</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.009162</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.009162</td>\n",
       "      <td>-0.009120</td>\n",
       "      <td>1.324322</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              price   returns  position  strategy  position_5  strategy_5  \\\n",
       "date                                                                        \n",
       "2020-08-05  4777.11  0.000274       1.0  0.000274         1.0    0.000274   \n",
       "2020-08-06  4762.76 -0.003008      -1.0 -0.003008         1.0   -0.003008   \n",
       "2020-08-07  4707.93 -0.011579      -1.0  0.011579         1.0   -0.011579   \n",
       "2020-08-10  4724.87  0.003592       1.0 -0.003592        -1.0    0.003592   \n",
       "2020-08-11  4681.78 -0.009162      -1.0 -0.009162        -1.0    0.009162   \n",
       "\n",
       "            return_dis  return_dis_cum  \n",
       "date                                    \n",
       "2020-08-05    0.000274        1.351287  \n",
       "2020-08-06   -0.003004        1.347228  \n",
       "2020-08-07   -0.011512        1.331719  \n",
       "2020-08-10    0.003598        1.336510  \n",
       "2020-08-11   -0.009120        1.324322  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_plot = ['return_dis_cum']    #这是用来绘制图形的一个list\n",
    "type(price_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "for days in [10, 20, 30, 60]:\n",
    "        \n",
    "#     data['position_%d' % days] = np.sign(data['returns'].rolling(days).mean())\n",
    "    price_plot.append('sty_cumr_%dd' % days)\n",
    "    data['position_%dd' % days] = np.where(data['returns'].rolling(days).mean()>0,1,-1)\n",
    "    data['strategy_%dd' % days] = data['position_%dd' % days].shift(1) * data['returns']\n",
    "    data['sty_cumr_%dd' % days] = (data['strategy_%dd' % days]+1).cumprod()\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['return_dis_cum',\n",
       " 'sty_cumr_10d',\n",
       " 'sty_cumr_20d',\n",
       " 'sty_cumr_30d',\n",
       " 'sty_cumr_60d']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>returns</th>\n",
       "      <th>position</th>\n",
       "      <th>strategy</th>\n",
       "      <th>position_5</th>\n",
       "      <th>strategy_5</th>\n",
       "      <th>return_dis</th>\n",
       "      <th>return_dis_cum</th>\n",
       "      <th>position_10d</th>\n",
       "      <th>strategy_10d</th>\n",
       "      <th>sty_cumr_10d</th>\n",
       "      <th>position_20d</th>\n",
       "      <th>strategy_20d</th>\n",
       "      <th>sty_cumr_20d</th>\n",
       "      <th>position_30d</th>\n",
       "      <th>strategy_30d</th>\n",
       "      <th>sty_cumr_30d</th>\n",
       "      <th>position_60d</th>\n",
       "      <th>strategy_60d</th>\n",
       "      <th>sty_cumr_60d</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>3535.229</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>3564.038</td>\n",
       "      <td>0.008116</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008149</td>\n",
       "      <td>1.008149</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.008116</td>\n",
       "      <td>0.991884</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.008116</td>\n",
       "      <td>0.991884</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.008116</td>\n",
       "      <td>0.991884</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.008116</td>\n",
       "      <td>0.991884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>3541.727</td>\n",
       "      <td>-0.006280</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-0.006280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.006260</td>\n",
       "      <td>1.001838</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.006280</td>\n",
       "      <td>0.998113</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.006280</td>\n",
       "      <td>0.998113</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.006280</td>\n",
       "      <td>0.998113</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.006280</td>\n",
       "      <td>0.998113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>3471.456</td>\n",
       "      <td>-0.020040</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0.020040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.019841</td>\n",
       "      <td>0.981961</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.020040</td>\n",
       "      <td>1.018115</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.020040</td>\n",
       "      <td>1.018115</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.020040</td>\n",
       "      <td>1.018115</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.020040</td>\n",
       "      <td>1.018115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>3480.130</td>\n",
       "      <td>0.002496</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.002496</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002499</td>\n",
       "      <td>0.984414</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.002496</td>\n",
       "      <td>1.015574</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.002496</td>\n",
       "      <td>1.015574</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.002496</td>\n",
       "      <td>1.015574</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.002496</td>\n",
       "      <td>1.015574</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               price   returns  position  strategy  position_5  strategy_5  \\\n",
       "date                                                                         \n",
       "2010-01-04  3535.229       NaN       NaN       NaN         NaN         NaN   \n",
       "2010-01-05  3564.038  0.008116       1.0       NaN         NaN         NaN   \n",
       "2010-01-06  3541.727 -0.006280      -1.0 -0.006280         NaN         NaN   \n",
       "2010-01-07  3471.456 -0.020040      -1.0  0.020040         NaN         NaN   \n",
       "2010-01-08  3480.130  0.002496       1.0 -0.002496         NaN         NaN   \n",
       "\n",
       "            return_dis  return_dis_cum  position_10d  strategy_10d  \\\n",
       "date                                                                 \n",
       "2010-01-04         NaN             NaN            -1           NaN   \n",
       "2010-01-05    0.008149        1.008149            -1     -0.008116   \n",
       "2010-01-06   -0.006260        1.001838            -1      0.006280   \n",
       "2010-01-07   -0.019841        0.981961            -1      0.020040   \n",
       "2010-01-08    0.002499        0.984414            -1     -0.002496   \n",
       "\n",
       "            sty_cumr_10d  position_20d  strategy_20d  sty_cumr_20d  \\\n",
       "date                                                                 \n",
       "2010-01-04           NaN            -1           NaN           NaN   \n",
       "2010-01-05      0.991884            -1     -0.008116      0.991884   \n",
       "2010-01-06      0.998113            -1      0.006280      0.998113   \n",
       "2010-01-07      1.018115            -1      0.020040      1.018115   \n",
       "2010-01-08      1.015574            -1     -0.002496      1.015574   \n",
       "\n",
       "            position_30d  strategy_30d  sty_cumr_30d  position_60d  \\\n",
       "date                                                                 \n",
       "2010-01-04            -1           NaN           NaN            -1   \n",
       "2010-01-05            -1     -0.008116      0.991884            -1   \n",
       "2010-01-06            -1      0.006280      0.998113            -1   \n",
       "2010-01-07            -1      0.020040      1.018115            -1   \n",
       "2010-01-08            -1     -0.002496      1.015574            -1   \n",
       "\n",
       "            strategy_60d  sty_cumr_60d  \n",
       "date                                    \n",
       "2010-01-04           NaN           NaN  \n",
       "2010-01-05     -0.008116      0.991884  \n",
       "2010-01-06      0.006280      0.998113  \n",
       "2010-01-07      0.020040      1.018115  \n",
       "2010-01-08     -0.002496      1.015574  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2124a59f6a0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[price_plot].dropna().plot(\n",
    "    title='HS300 Multi Parameters Momuntum Strategy',\n",
    "    figsize=(10, 6), style=['--', '--', '--', '--','--'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5.  策略优化思路之 \n",
    "\n",
    "High Frequency Data用于Momentum策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs300_hf = ts.get_k_data('hs300', ktype='5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>turnoverratio</th>\n",
       "      <th>code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-07-30 09:35</td>\n",
       "      <td>4689.76</td>\n",
       "      <td>4682.08</td>\n",
       "      <td>4691.35</td>\n",
       "      <td>4676.27</td>\n",
       "      <td>17243583.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-07-30 09:40</td>\n",
       "      <td>4682.43</td>\n",
       "      <td>4704.11</td>\n",
       "      <td>4704.63</td>\n",
       "      <td>4682.43</td>\n",
       "      <td>9217654.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-07-30 09:45</td>\n",
       "      <td>4702.52</td>\n",
       "      <td>4688.79</td>\n",
       "      <td>4702.52</td>\n",
       "      <td>4688.79</td>\n",
       "      <td>7777231.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-07-30 09:50</td>\n",
       "      <td>4688.61</td>\n",
       "      <td>4686.02</td>\n",
       "      <td>4690.89</td>\n",
       "      <td>4681.14</td>\n",
       "      <td>7464776.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-07-30 09:55</td>\n",
       "      <td>4686.13</td>\n",
       "      <td>4666.06</td>\n",
       "      <td>4688.48</td>\n",
       "      <td>4666.06</td>\n",
       "      <td>7031282.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               date     open    close     high      low      volume amount  \\\n",
       "0  2020-07-30 09:35  4689.76  4682.08  4691.35  4676.27  17243583.0     {}   \n",
       "1  2020-07-30 09:40  4682.43  4704.11  4704.63  4682.43   9217654.0     {}   \n",
       "2  2020-07-30 09:45  4702.52  4688.79  4702.52  4688.79   7777231.0     {}   \n",
       "3  2020-07-30 09:50  4688.61  4686.02  4690.89  4681.14   7464776.0     {}   \n",
       "4  2020-07-30 09:55  4686.13  4666.06  4688.48  4666.06   7031282.0     {}   \n",
       "\n",
       "  turnoverratio   code  \n",
       "0        0.0000  hs300  \n",
       "1        0.0000  hs300  \n",
       "2        0.0000  hs300  \n",
       "3        0.0000  hs300  \n",
       "4        0.0000  hs300  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_hf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs300_hf.set_index('date',inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-07-30 09:35</th>\n",
       "      <td>4689.76</td>\n",
       "      <td>4682.08</td>\n",
       "      <td>4691.35</td>\n",
       "      <td>4676.27</td>\n",
       "      <td>17243583.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30 09:40</th>\n",
       "      <td>4682.43</td>\n",
       "      <td>4704.11</td>\n",
       "      <td>4704.63</td>\n",
       "      <td>4682.43</td>\n",
       "      <td>9217654.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30 09:45</th>\n",
       "      <td>4702.52</td>\n",
       "      <td>4688.79</td>\n",
       "      <td>4702.52</td>\n",
       "      <td>4688.79</td>\n",
       "      <td>7777231.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30 09:50</th>\n",
       "      <td>4688.61</td>\n",
       "      <td>4686.02</td>\n",
       "      <td>4690.89</td>\n",
       "      <td>4681.14</td>\n",
       "      <td>7464776.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-30 09:55</th>\n",
       "      <td>4686.13</td>\n",
       "      <td>4666.06</td>\n",
       "      <td>4688.48</td>\n",
       "      <td>4666.06</td>\n",
       "      <td>7031282.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     open    close     high      low      volume amount  \\\n",
       "date                                                                      \n",
       "2020-07-30 09:35  4689.76  4682.08  4691.35  4676.27  17243583.0     {}   \n",
       "2020-07-30 09:40  4682.43  4704.11  4704.63  4682.43   9217654.0     {}   \n",
       "2020-07-30 09:45  4702.52  4688.79  4702.52  4688.79   7777231.0     {}   \n",
       "2020-07-30 09:50  4688.61  4686.02  4690.89  4681.14   7464776.0     {}   \n",
       "2020-07-30 09:55  4686.13  4666.06  4688.48  4666.06   7031282.0     {}   \n",
       "\n",
       "                 turnoverratio   code  \n",
       "date                                   \n",
       "2020-07-30 09:35        0.0000  hs300  \n",
       "2020-07-30 09:40        0.0000  hs300  \n",
       "2020-07-30 09:45        0.0000  hs300  \n",
       "2020-07-30 09:50        0.0000  hs300  \n",
       "2020-07-30 09:55        0.0000  hs300  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_hf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs300_hf.index = pd.to_datetime(hs300_hf.index)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "      <th>turnoverratio</th>\n",
       "      <th>code</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-12 14:40:00</th>\n",
       "      <td>4641.15</td>\n",
       "      <td>4637.96</td>\n",
       "      <td>4641.15</td>\n",
       "      <td>4632.72</td>\n",
       "      <td>2905881.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12 14:45:00</th>\n",
       "      <td>4638.04</td>\n",
       "      <td>4640.62</td>\n",
       "      <td>4640.93</td>\n",
       "      <td>4638.04</td>\n",
       "      <td>3544854.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12 14:50:00</th>\n",
       "      <td>4641.62</td>\n",
       "      <td>4646.09</td>\n",
       "      <td>4646.89</td>\n",
       "      <td>4641.58</td>\n",
       "      <td>3977376.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12 14:55:00</th>\n",
       "      <td>4645.88</td>\n",
       "      <td>4645.31</td>\n",
       "      <td>4645.88</td>\n",
       "      <td>4643.87</td>\n",
       "      <td>4342857.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-12 15:00:00</th>\n",
       "      <td>4645.51</td>\n",
       "      <td>4647.64</td>\n",
       "      <td>4647.64</td>\n",
       "      <td>4645.20</td>\n",
       "      <td>3186809.0</td>\n",
       "      <td>{}</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>hs300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        open    close     high      low     volume amount  \\\n",
       "date                                                                        \n",
       "2020-08-12 14:40:00  4641.15  4637.96  4641.15  4632.72  2905881.0     {}   \n",
       "2020-08-12 14:45:00  4638.04  4640.62  4640.93  4638.04  3544854.0     {}   \n",
       "2020-08-12 14:50:00  4641.62  4646.09  4646.89  4641.58  3977376.0     {}   \n",
       "2020-08-12 14:55:00  4645.88  4645.31  4645.88  4643.87  4342857.0     {}   \n",
       "2020-08-12 15:00:00  4645.51  4647.64  4647.64  4645.20  3186809.0     {}   \n",
       "\n",
       "                    turnoverratio   code  \n",
       "date                                      \n",
       "2020-08-12 14:40:00        0.0000  hs300  \n",
       "2020-08-12 14:45:00        0.0000  hs300  \n",
       "2020-08-12 14:50:00        0.0000  hs300  \n",
       "2020-08-12 14:55:00        0.0000  hs300  \n",
       "2020-08-12 15:00:00        0.0000  hs300  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hs300_hf.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.indexes.datetimes.DatetimeIndex"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(hs300_hf.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 480 entries, 2020-07-30 09:35:00 to 2020-08-12 15:00:00\n",
      "Data columns (total 8 columns):\n",
      "open             480 non-null float64\n",
      "close            480 non-null float64\n",
      "high             480 non-null float64\n",
      "low              480 non-null float64\n",
      "volume           480 non-null float64\n",
      "amount           480 non-null object\n",
      "turnoverratio    480 non-null object\n",
      "code             480 non-null object\n",
      "dtypes: float64(5), object(3)\n",
      "memory usage: 33.8+ KB\n"
     ]
    }
   ],
   "source": [
    "hs300_hf.info() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs300_hf['returns'] = np.log(hs300_hf['close'] / hs300_hf['close'].shift(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs300_hf['position'] = np.sign(hs300_hf['returns'].rolling(30).mean())     #30个5分钟平均；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs300_hf['strategy'] = hs300_hf['position'].shift(1) * hs300_hf['returns']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2124a613d68>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hs300_hf[['returns', 'strategy']].dropna().cumsum().apply(np.exp).plot(figsize=(10, 6), style=['--', '--'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6. Cross sectional 横截面行业内动量\n",
    "\n",
    "策略逻辑与执行思路：\n",
    "\n",
    "初选股票池： HS300/ZZ500/全A\n",
    "\n",
    "将股票池内股票按行业分类\n",
    "\n",
    "重新定股票池：每个行业中，过去n天内涨的最好的n只股票\n",
    "\n",
    "股票在股票池中买入，不在股票池中卖出，以n天为周期进行调整\n",
    "\n",
    "参数n寻优，回测结果评价。\n",
    "\n",
    "适合在优矿米宽万矿等平台上执行。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "      <th>change</th>\n",
       "      <th>open</th>\n",
       "      <th>preclose</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000001</td>\n",
       "      <td>上证指数</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3327.4929</td>\n",
       "      <td>3340.2900</td>\n",
       "      <td>3319.2656</td>\n",
       "      <td>3335.7290</td>\n",
       "      <td>3263.2653</td>\n",
       "      <td>378328959</td>\n",
       "      <td>4807.3125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000002</td>\n",
       "      <td>Ａ股指数</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>3487.8473</td>\n",
       "      <td>3501.2795</td>\n",
       "      <td>3479.2114</td>\n",
       "      <td>3496.4860</td>\n",
       "      <td>3420.4909</td>\n",
       "      <td>378017313</td>\n",
       "      <td>4805.5526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000003</td>\n",
       "      <td>Ｂ股指数</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>235.7005</td>\n",
       "      <td>235.9153</td>\n",
       "      <td>235.5730</td>\n",
       "      <td>236.1914</td>\n",
       "      <td>232.3598</td>\n",
       "      <td>311646</td>\n",
       "      <td>1.7598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>000008</td>\n",
       "      <td>综合指数</td>\n",
       "      <td>-0.27</td>\n",
       "      <td>2957.3565</td>\n",
       "      <td>2964.0294</td>\n",
       "      <td>2955.9167</td>\n",
       "      <td>2975.8872</td>\n",
       "      <td>2919.8133</td>\n",
       "      <td>82517256</td>\n",
       "      <td>1007.2365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>000009</td>\n",
       "      <td>上证380</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>5975.4179</td>\n",
       "      <td>5998.0089</td>\n",
       "      <td>5913.8670</td>\n",
       "      <td>5988.7996</td>\n",
       "      <td>5802.1414</td>\n",
       "      <td>92917254</td>\n",
       "      <td>1106.1501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>000010</td>\n",
       "      <td>上证180</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>9639.1210</td>\n",
       "      <td>9671.6450</td>\n",
       "      <td>9614.0586</td>\n",
       "      <td>9667.2101</td>\n",
       "      <td>9459.4974</td>\n",
       "      <td>126295482</td>\n",
       "      <td>1936.2061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>000011</td>\n",
       "      <td>基金指数</td>\n",
       "      <td>-0.56</td>\n",
       "      <td>7194.2378</td>\n",
       "      <td>7212.5258</td>\n",
       "      <td>7172.3285</td>\n",
       "      <td>7205.4516</td>\n",
       "      <td>7074.7891</td>\n",
       "      <td>143927550</td>\n",
       "      <td>464.7485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>000012</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0.04</td>\n",
       "      <td>182.7022</td>\n",
       "      <td>182.6868</td>\n",
       "      <td>182.7544</td>\n",
       "      <td>182.7641</td>\n",
       "      <td>182.7022</td>\n",
       "      <td>223595</td>\n",
       "      <td>2.1124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>000016</td>\n",
       "      <td>上证50</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>3255.5383</td>\n",
       "      <td>3262.8244</td>\n",
       "      <td>3249.7381</td>\n",
       "      <td>3266.5825</td>\n",
       "      <td>3199.5458</td>\n",
       "      <td>51024947</td>\n",
       "      <td>1000.1235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>000017</td>\n",
       "      <td>新综指</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>2812.3547</td>\n",
       "      <td>2823.1887</td>\n",
       "      <td>2805.3976</td>\n",
       "      <td>2819.3231</td>\n",
       "      <td>2758.0485</td>\n",
       "      <td>362797038</td>\n",
       "      <td>4383.5167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>000300</td>\n",
       "      <td>沪深300</td>\n",
       "      <td>-0.73</td>\n",
       "      <td>4668.8899</td>\n",
       "      <td>4681.7837</td>\n",
       "      <td>4647.6446</td>\n",
       "      <td>4681.6206</td>\n",
       "      <td>4566.2736</td>\n",
       "      <td>202887239</td>\n",
       "      <td>3472.9867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>000905</td>\n",
       "      <td>中证500</td>\n",
       "      <td>-1.10</td>\n",
       "      <td>6580.0058</td>\n",
       "      <td>6600.8472</td>\n",
       "      <td>6528.3999</td>\n",
       "      <td>6599.6573</td>\n",
       "      <td>6395.0060</td>\n",
       "      <td>177889045</td>\n",
       "      <td>1979.6944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>399001</td>\n",
       "      <td>深证成指</td>\n",
       "      <td>-1.17</td>\n",
       "      <td>13437.5660</td>\n",
       "      <td>13466.2680</td>\n",
       "      <td>13308.5210</td>\n",
       "      <td>13471.8200</td>\n",
       "      <td>13026.0110</td>\n",
       "      <td>45004057281</td>\n",
       "      <td>6029.2610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>399002</td>\n",
       "      <td>深成指R</td>\n",
       "      <td>-1.15</td>\n",
       "      <td>16646.7150</td>\n",
       "      <td>16679.3890</td>\n",
       "      <td>16486.8520</td>\n",
       "      <td>16689.1480</td>\n",
       "      <td>16136.8710</td>\n",
       "      <td>18636377568</td>\n",
       "      <td>3381.1072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>399003</td>\n",
       "      <td>成份Ｂ指</td>\n",
       "      <td>-0.48</td>\n",
       "      <td>5637.5270</td>\n",
       "      <td>5626.9540</td>\n",
       "      <td>5599.6870</td>\n",
       "      <td>5637.5270</td>\n",
       "      <td>5536.6040</td>\n",
       "      <td>6956856</td>\n",
       "      <td>0.3723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>399004</td>\n",
       "      <td>深证100R</td>\n",
       "      <td>-1.06</td>\n",
       "      <td>7806.8380</td>\n",
       "      <td>7814.8890</td>\n",
       "      <td>7731.7380</td>\n",
       "      <td>7825.7580</td>\n",
       "      <td>7576.2250</td>\n",
       "      <td>5345639074</td>\n",
       "      <td>1453.8952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>399005</td>\n",
       "      <td>中小板指</td>\n",
       "      <td>-0.65</td>\n",
       "      <td>8962.3890</td>\n",
       "      <td>8974.4590</td>\n",
       "      <td>8916.4510</td>\n",
       "      <td>8995.1450</td>\n",
       "      <td>8698.2550</td>\n",
       "      <td>21018858140</td>\n",
       "      <td>2689.5977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>399006</td>\n",
       "      <td>创业板指</td>\n",
       "      <td>-1.98</td>\n",
       "      <td>2689.5760</td>\n",
       "      <td>2688.7000</td>\n",
       "      <td>2635.5020</td>\n",
       "      <td>2694.9540</td>\n",
       "      <td>2577.7120</td>\n",
       "      <td>11421080768</td>\n",
       "      <td>2014.8399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>399008</td>\n",
       "      <td>中小300</td>\n",
       "      <td>-0.93</td>\n",
       "      <td>1696.6830</td>\n",
       "      <td>1700.7170</td>\n",
       "      <td>1684.8650</td>\n",
       "      <td>1702.2260</td>\n",
       "      <td>1644.9030</td>\n",
       "      <td>10783998542</td>\n",
       "      <td>1794.5138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>399100</td>\n",
       "      <td>新 指 数</td>\n",
       "      <td>-1.08</td>\n",
       "      <td>10215.7180</td>\n",
       "      <td>10244.2990</td>\n",
       "      <td>10133.2830</td>\n",
       "      <td>10241.7420</td>\n",
       "      <td>9915.4980</td>\n",
       "      <td>43435973689</td>\n",
       "      <td>5983.4613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>399101</td>\n",
       "      <td>中小板综</td>\n",
       "      <td>-0.94</td>\n",
       "      <td>12730.9410</td>\n",
       "      <td>12767.5050</td>\n",
       "      <td>12647.9100</td>\n",
       "      <td>12764.8340</td>\n",
       "      <td>12356.2560</td>\n",
       "      <td>21018858140</td>\n",
       "      <td>2689.5977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>399106</td>\n",
       "      <td>深证综指</td>\n",
       "      <td>-1.26</td>\n",
       "      <td>2237.5110</td>\n",
       "      <td>2243.4530</td>\n",
       "      <td>2215.1150</td>\n",
       "      <td>2242.7350</td>\n",
       "      <td>2168.2390</td>\n",
       "      <td>45004057281</td>\n",
       "      <td>6029.2610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>399107</td>\n",
       "      <td>深证Ａ指</td>\n",
       "      <td>-1.26</td>\n",
       "      <td>2341.8780</td>\n",
       "      <td>2348.1110</td>\n",
       "      <td>2318.4180</td>\n",
       "      <td>2347.3530</td>\n",
       "      <td>2269.3090</td>\n",
       "      <td>44989889610</td>\n",
       "      <td>6028.6521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>399108</td>\n",
       "      <td>深证Ｂ指</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>925.7540</td>\n",
       "      <td>924.7840</td>\n",
       "      <td>921.3630</td>\n",
       "      <td>926.3300</td>\n",
       "      <td>912.5640</td>\n",
       "      <td>14167671</td>\n",
       "      <td>0.6089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>399333</td>\n",
       "      <td>中小板R</td>\n",
       "      <td>-0.63</td>\n",
       "      <td>10174.8960</td>\n",
       "      <td>10187.3130</td>\n",
       "      <td>10122.7420</td>\n",
       "      <td>10212.0820</td>\n",
       "      <td>9875.0270</td>\n",
       "      <td>4526139354</td>\n",
       "      <td>1021.5306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>399606</td>\n",
       "      <td>创业板R</td>\n",
       "      <td>-1.97</td>\n",
       "      <td>2853.1630</td>\n",
       "      <td>2851.9100</td>\n",
       "      <td>2795.8000</td>\n",
       "      <td>2858.8680</td>\n",
       "      <td>2734.4960</td>\n",
       "      <td>2740918710</td>\n",
       "      <td>844.0930</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      code    name  change        open    preclose       close        high  \\\n",
       "0   000001    上证指数   -0.63   3327.4929   3340.2900   3319.2656   3335.7290   \n",
       "1   000002    Ａ股指数   -0.63   3487.8473   3501.2795   3479.2114   3496.4860   \n",
       "2   000003    Ｂ股指数   -0.15    235.7005    235.9153    235.5730    236.1914   \n",
       "3   000008    综合指数   -0.27   2957.3565   2964.0294   2955.9167   2975.8872   \n",
       "4   000009   上证380   -1.40   5975.4179   5998.0089   5913.8670   5988.7996   \n",
       "5   000010   上证180   -0.60   9639.1210   9671.6450   9614.0586   9667.2101   \n",
       "6   000011    基金指数   -0.56   7194.2378   7212.5258   7172.3285   7205.4516   \n",
       "7   000012    国债指数    0.04    182.7022    182.6868    182.7544    182.7641   \n",
       "8   000016    上证50   -0.40   3255.5383   3262.8244   3249.7381   3266.5825   \n",
       "9   000017     新综指   -0.63   2812.3547   2823.1887   2805.3976   2819.3231   \n",
       "10  000300   沪深300   -0.73   4668.8899   4681.7837   4647.6446   4681.6206   \n",
       "11  000905   中证500   -1.10   6580.0058   6600.8472   6528.3999   6599.6573   \n",
       "12  399001    深证成指   -1.17  13437.5660  13466.2680  13308.5210  13471.8200   \n",
       "13  399002    深成指R   -1.15  16646.7150  16679.3890  16486.8520  16689.1480   \n",
       "14  399003    成份Ｂ指   -0.48   5637.5270   5626.9540   5599.6870   5637.5270   \n",
       "15  399004  深证100R   -1.06   7806.8380   7814.8890   7731.7380   7825.7580   \n",
       "16  399005    中小板指   -0.65   8962.3890   8974.4590   8916.4510   8995.1450   \n",
       "17  399006    创业板指   -1.98   2689.5760   2688.7000   2635.5020   2694.9540   \n",
       "18  399008   中小300   -0.93   1696.6830   1700.7170   1684.8650   1702.2260   \n",
       "19  399100   新 指 数   -1.08  10215.7180  10244.2990  10133.2830  10241.7420   \n",
       "20  399101    中小板综   -0.94  12730.9410  12767.5050  12647.9100  12764.8340   \n",
       "21  399106    深证综指   -1.26   2237.5110   2243.4530   2215.1150   2242.7350   \n",
       "22  399107    深证Ａ指   -1.26   2341.8780   2348.1110   2318.4180   2347.3530   \n",
       "23  399108    深证Ｂ指   -0.37    925.7540    924.7840    921.3630    926.3300   \n",
       "24  399333    中小板R   -0.63  10174.8960  10187.3130  10122.7420  10212.0820   \n",
       "25  399606    创业板R   -1.97   2853.1630   2851.9100   2795.8000   2858.8680   \n",
       "\n",
       "           low       volume     amount  \n",
       "0    3263.2653    378328959  4807.3125  \n",
       "1    3420.4909    378017313  4805.5526  \n",
       "2     232.3598       311646     1.7598  \n",
       "3    2919.8133     82517256  1007.2365  \n",
       "4    5802.1414     92917254  1106.1501  \n",
       "5    9459.4974    126295482  1936.2061  \n",
       "6    7074.7891    143927550   464.7485  \n",
       "7     182.7022       223595     2.1124  \n",
       "8    3199.5458     51024947  1000.1235  \n",
       "9    2758.0485    362797038  4383.5167  \n",
       "10   4566.2736    202887239  3472.9867  \n",
       "11   6395.0060    177889045  1979.6944  \n",
       "12  13026.0110  45004057281  6029.2610  \n",
       "13  16136.8710  18636377568  3381.1072  \n",
       "14   5536.6040      6956856     0.3723  \n",
       "15   7576.2250   5345639074  1453.8952  \n",
       "16   8698.2550  21018858140  2689.5977  \n",
       "17   2577.7120  11421080768  2014.8399  \n",
       "18   1644.9030  10783998542  1794.5138  \n",
       "19   9915.4980  43435973689  5983.4613  \n",
       "20  12356.2560  21018858140  2689.5977  \n",
       "21   2168.2390  45004057281  6029.2610  \n",
       "22   2269.3090  44989889610  6028.6521  \n",
       "23    912.5640     14167671     0.6089  \n",
       "24   9875.0270   4526139354  1021.5306  \n",
       "25   2734.4960   2740918710   844.0930  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts.get_index()"
   ]
  }
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